Position Overview
We are seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.
Key Responsibilities
Data Engineering (80%)
· Infrastructure Management: Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines
· Pipeline Development: Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness
· Performance Optimization: Monitor and improve pipeline performance, troubleshoot issues, and implement best practices
· Documentation: Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations
Data Analysis & Reporting (20%)
· Stakeholder Collaboration: Partner with business teams to gather requirements and translate them into technical solutions
· Report Development: Build and maintain PowerBI dashboards and reports that drive business decisions
· Data Modeling: Develop new data models and enhance existing ones to support advanced analytics
· Insight Communication: Transform complex data findings into clear, actionable insights for various departments
Required Qualifications
Technical Skills
· Programming & Query Languages: Strong proficiency in Python, SQL, and PySpark
· Big Data Platforms: Hands-on experience with Databricks for large-scale data processing
· Orchestration Tools: Proven experience with workflow orchestration tools (Airflow preferred)
· Cloud Platforms: Experience with AWS (preferred), Azure, or Google Cloud Platform
· Data Visualization: Proficiency in PowerBI (preferred) or Tableau
· Database Systems: Familiarity with relational database management systems (RDBMS)
Development Practices
· Version Control: Proficient with Git for code management and collaboration
· CI/CD: Hands-on experience implementing and maintaining continuous integration/deployment pipelines
· Documentation: Strong ability to create clear technical documentation
Experience & Communication
· Professional Experience: 3+ years in data engineering or closely related roles
· Language Requirements: Fluent English communication skills for effective collaboration with U.S.-based team members
· Pipeline Expertise: Demonstrated experience building and maintaining production data pipelines
Job Types: Contract, Permanent
Work Location: Remote
